Overview
Uncertainties play a dominant role in the design and optimization of structures and infrastructures. In optimum design of structural systems due to variations of the material, manufacturing variations, variations of the external loads and modelling uncertainty, the parameters of a structure, a structural system and its environment are not given, fixed coefficients, but random variables with a certain probability distribution. The increasing necessity to solve complex problems in Structural Optimization, Structural Reliability and Probabilistic Mechanics, requires the development of new ideas, innovative methods and numerical tools for providing accurate numerical solutions in affordable computing times. This book presents the latest findings on structural optimization considering uncertainties. It contains selected contributions dealing with the use of probabilistic methods for the optimal design of different types of structures and various considerations of uncertainties. The first part is focused on reliability-based design optimization and the second part on robust design optimization. Comprising twenty-one, self-contained chapters by prominent authors in the field, it forms a complete collection of state-of-the-art theoretical advances and applications in the fields of structural optimization, structural reliability, and probabilistic computational mechanics. It is recommended to researchers, engineers, and students in civil, mechanical, naval and aerospace engineering and to professionals working on complicated costs-effective design problems.
Full Product Details
Author: Yannis Tsompanakis (Technical University of Crete, Heraklion, Greece) ,
Nikos D. Lagaros (University of Thessaly, Volos, Greece) ,
Manolis Papadrakakis (National Technical University of Athens, Athens, Greece) ,
Manolis Papadrakakis
Publisher: Taylor & Francis Ltd
Imprint: CRC Press
Volume: v. 1
Weight: 1.400kg
ISBN: 9780415452601
ISBN 10: 0415452600
Pages: 656
Publication Date: 07 February 2008
Audience:
College/higher education
,
Undergraduate
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: In Print
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.
Reviews
This book is successful in its goal of providing an overview of recent research on structural optimization under uncertainties. The papers present a diverse set of approaches. The reader interested in identifying the state-of-the-art in RBDO and RDO would find this book to be a very useful resource . Professor Lori Graham-Brady, Department of Civil Engineering, John Hopkins University, Baltimore, Maryland, USA
Author Information
Yiannis Tsompanakis is an Assistant Professor of structural earthquake engineering. He has many research and practical projects in earthquake engineering and computational mechanics. His main interests include: computational dynamics, structural and geotechnical earthquake engineering, structural optimization, probabilistic mechanics, structural assessment, applications of artificial intelligence methods in engineering. Nikos D. Lagaros is an Assistant Professor of Civil Engineering. His main research interests include: *nonlinear dynamic analysis of concrete and steel structures under seismic loading, *performance-based earthquake engineering, *structural design optimization of real-world structures, *seismic risk and reliability analysis, * neural network in structural engineering, *fragility evaluation of reinforced concrete and steel structures, *inverse problems in structural dynamics, *parallel and distributed computing/Grid computing technologies, *evolutionary computations and *geotechnical earthquake engineering. Manolis Papadrakakis is a Professor in Civil Engineering His research activities are focused on the development and the application of the latest computer methods and technology to structural engineering analysis and design. He has written and edited many publications, both in English and in Greek.
